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Scilab Help >> Statistics > Regression > regress

# regress

regression coefficients of two variables. This function is obsolete.

### Calling Sequence

`coefs=regress(x,y)`

### Arguments

x,y

real or complex vector

### Description

This function computes the regresion coefficients of two variables `x` and `y`, both numerical vectors of same number of elements `n`. `coefs=[a b]` be a 1x2 matrix such that `Y=a+bX` will be the equation of the ordinary least square approximation to our data.

 This function is obsolete.
It is better to use reglin instead of `regress`.

### References

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, J.Wiley & Sons, 1990.

### Examples

```x=[0.5608486 0.6623569 0.7263507 0.1985144 0.5442573 0.2320748 0.2312237]
y=[0.3616361 0.2922267 0.5664249 0.4826472 0.3321719 0.5935095 0.5015342]
coefs=regress(x,y)```

### See Also

• reglin — Linear regression
• covar — covariance of two variables

### History

 Version Description 5.5.0 Function tagged as obsolete. Will be removed in 5.5.1. Please use reglin instead.
 Report an issue << Regression Regression Sampling >>

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